Auto Clustering
The Auto Clustering algorithm is a highly configurable and scalable clustering engine
that uses the Gower distance metric for handling numerical, categorical, or mixed inputs
automatically to determine the optimal number of clusters.
Specify a minimal configuration, designate inputs as optional, and let the engine work out the rest. Or, tell the engine to specifically implement a method for a tailored clustering approach. For large datasets, the engine utilizes an automatic sampling approach to avoid bias.
Developed for Infor's Augmented Intelligence (AI) suite, Auto Clustering is designed to provide a valuable solution through a combination of K-means, K-modes, and K-prototypes automatically based on the features.